Detail of Publication
| Text Language | English |
|---|---|
| Authors | Manuel Landsmann, Olivier Augereau, Koichi Kise |
| Title | Poster: Classification of Reading and Not Reading Behavior Based on Eye Movement Analysis |
| Journal | Proceedings of the 2019 ACM International Joint Conference and 2019 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers |
| Number of Pages | 4 pages |
| Location | UbiComp2019 |
| Reviewed or not | Reviewed |
| Presentation type | Poster |
| Month & Year | September 2019 |
| Abstract | Nowadays, many researchers analyze reading behavior with eye trackers. Various traits of reading like engagement, or text difficulty have been observed in laboratory settings. But, their automatic application for daily life is usually prevented by one question: when is somebody reading? We have developed a tool to classify short sequences of fixations from eye gaze data into reading and not reading. Our specific use case is the Vocabulometer, a website for learning English by reading texts. We used supervised learning on data from nonnative English speakers to train decision trees for the classification. With features based on vertical eye movement, we achieved 93.1% of correct classifications. |
| DOI | 10.1145/3341162.3343811 |
| URL | https://doi.org/10.1145/3341162.3343811 |
- Entry for BibTeX
@InProceedings{Landsmann2019, author = {Manuel Landsmann and Olivier Augereau and Koichi Kise}, title = {Poster: Classification of Reading and Not Reading Behavior Based on Eye Movement Analysis}, booktitle = {Proceedings of the 2019 ACM International Joint Conference and 2019 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers}, year = 2019, month = sep, numpages = {4}, DOI = {10.1145/3341162.3343811}, URL = {https://doi.org/10.1145/3341162.3343811}, location = {UbiComp2019} }